Answers are grounded in this paper and cite their sources.
Acceptance sampling is a new yield estimation and optimization method which combines the accuracy of Monte Carlo analysis with the computational efficiency of response surface methods. Response surface approximations are used to guide selection of simulation samples. Formulas based on established statistical methods (viz., confidence intervals, stratified sampling) estimate yield and predict accuracy. Yield optimization procedures employ conventional search algorithms. Examples using 50 to 100 simulations demonstrate accuracy matching 1000 to 10000 Monte Carlo samples.>
No takes yet. Share an insight, caveat, or question.
Norman J. Elias (1994) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: